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Wenhao Ding
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2020 – today
- 2024
- [j6]Zhengxian Zhang, Xiaogang Wang, Yun Li, Yi Liu, Yuan Xu, Jingjuan Li, Wenhao Ding, Hongze Li, Hong Yang:
River ecosystem health assessment in the Qinghai-Tibet Plateau: A novel hybrid method based on artificial intelligence and multi-source data fusion. Expert Syst. Appl. 251: 124078 (2024) - [j5]Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao:
Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving. IEEE Robotics Autom. Lett. 9(5): 4639-4646 (2024) - [c21]Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone:
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. ECCV (62) 2024: 93-110 - [c20]Miao Li, Wenhao Ding, Ding Zhao:
Privacy Risks in Reinforcement Learning for Household Robots. ICRA 2024: 5148-5154 - [i32]Peide Huang, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao:
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories. CoRR abs/2403.13208 (2024) - [i31]Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao:
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. CoRR abs/2407.10967 (2024) - [i30]Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao:
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning. CoRR abs/2407.14653 (2024) - [i29]Yihao Luo, Dario Sesia, Fanwen Wang, Yinzhe Wu, Wenhao Ding, Jiahao Huang, Fadong Shi, Anoop Shah, Amit Kaural, Jamil Mayet, Guang Yang, Choon Hwai Yap:
Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction. CoRR abs/2409.02070 (2024) - 2023
- [j4]Qiliang Zhu, Wenhao Ding, Mingsen Xiang, Mengzhen Hu, Ning Zhang:
Loan Default Prediction Based on Convolutional Neural Network and LightGBM. Int. J. Data Warehous. Min. 19(1): 1-16 (2023) - [j3]Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao:
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. IEEE Trans. Intell. Transp. Syst. 24(7): 6971-6988 (2023) - [c19]Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao:
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. CoRL 2023: 734-760 - [c18]Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone:
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. ICML 2023: 8053-8066 - [c17]Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen:
Learning to View: Decision Transformers for Active Object Detection. ICRA 2023: 7140-7146 - [c16]Hanjiang Hu, Baoquan Yang, Zhijian Qiao, Shiqi Liu, Jiacheng Zhu, Zuxin Liu, Wenhao Ding, Ding Zhao, Hesheng Wang:
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments. IROS 2023: 11384-11389 - [c15]Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao:
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. NeurIPS 2023 - [c14]Yiwen Dong, Yuyan Wu, Jesse R. Codling, Jatin Aggarwal, Peide Huang, Wenhao Ding, Hugo Latapie, Pei Zhang, Hae Young Noh:
GameVibes: Vibration-based Crowd Monitoring for Sports Games through Audience-Game-Facility Association Modeling. BuildSys@SenSys 2023: 177-188 - [i28]Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen:
Learning to View: Decision Transformers for Active Object Detection. CoRR abs/2301.09544 (2023) - [i27]Wenhao Ding:
Critical Scenario Generation for Developing Trustworthy Autonomy. CoRR abs/2305.00339 (2023) - [i26]Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone:
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. CoRR abs/2305.11340 (2023) - [i25]Miao Li, Wenhao Ding, Ding Zhao:
Your Room is not Private: Gradient Inversion Attack for Deep Q-Learning. CoRR abs/2306.09273 (2023) - [i24]Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao:
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. CoRR abs/2306.15864 (2023) - [i23]Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao:
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. CoRR abs/2307.07907 (2023) - [i22]Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao:
Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving. CoRR abs/2311.10747 (2023) - [i21]Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone:
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. CoRR abs/2312.13303 (2023) - 2022
- [c13]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation. CoRL 2022: 812-823 - [c12]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. NeurIPS 2022 - [c11]Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li:
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles. NeurIPS 2022 - [i20]Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao:
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. CoRR abs/2202.02215 (2022) - [i19]Wenhao Ding, Qing He, Hanghang Tong, Ping Wang:
PINO-MBD: Physics-informed Neural Operator for Solving Coupled ODEs in Multi-body Dynamics. CoRR abs/2205.12262 (2022) - [i18]Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li:
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles. CoRR abs/2206.09682 (2022) - [i17]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. CoRR abs/2207.09081 (2022) - [i16]Mengdi Xu, Zuxin Liu, Peide Huang, Wenhao Ding, Zhepeng Cen, Bo Li, Ding Zhao:
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability. CoRR abs/2209.08025 (2022) - [i15]Wenhao Ding, Qing He, Hanghang Tong, Qingjing Wang, Ping Wang:
Solving practical multi-body dynamics problems using a single neural operator. CoRR abs/2210.00222 (2022) - 2021
- [j2]Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao:
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation. IEEE Robotics Autom. Lett. 6(2): 1551-1558 (2021) - [c10]Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao:
Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems. AISTATS 2021: 595-603 - [c9]Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Liang Li, Ding Zhao:
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. ICRA 2021: 10689-10695 - [i14]Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Ding Zhao:
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. CoRR abs/2101.00531 (2021) - [i13]Wenhao Ding, Bo Li, Kim Ji Eun, Ding Zhao:
Semantically Controllable Scene Generation with Guidance of Explicit Knowledge. CoRR abs/2106.04066 (2021) - [i12]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation. CoRR abs/2110.13939 (2021) - 2020
- [j1]Wenhao Ding, Liang He:
Adaptive Multi-Scale Detection of Acoustic Events. IEEE ACM Trans. Audio Speech Lang. Process. 28: 294-306 (2020) - [c8]Wenhao Ding, Mengdi Xu, Ding Zhao:
CMTS: A Conditional Multiple Trajectory Synthesizer for Generating Safety-Critical Driving Scenarios. ICRA 2020: 4314-4321 - [c7]Wenhao Ding, Baiming Chen, Minjun Xu, Ding Zhao:
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. IROS 2020: 2243-2250 - [c6]Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao:
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. NeurIPS 2020 - [i11]Wenhao Ding, Minjun Xu, Ding Zhao:
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. CoRR abs/2003.01197 (2020) - [i10]Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao:
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. CoRR abs/2006.11441 (2020) - [i9]Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao:
Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy. CoRR abs/2006.15722 (2020) - [i8]Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao:
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation. CoRR abs/2009.08311 (2020)
2010 – 2019
- 2019
- [c5]Wenhao Ding, Wenshuo Wang, Ding Zhao:
A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios. ICRA 2019: 4255-4261 - [c4]Jingyang Zhang, Wenhao Ding, Jintao Kang, Liang He:
Multi-Scale Time-Frequency Attention for Acoustic Event Detection. INTERSPEECH 2019: 3855-3859 - [i7]Jingyang Zhang, Wenhao Ding, Jintao Kang, Liang He:
Multi-Scale Time-Frequency Attention for Rare Sound Event Detection. CoRR abs/1904.00063 (2019) - [i6]Wenhao Ding, Mengdi Xu, Ding Zhao:
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios. CoRR abs/1910.00099 (2019) - [i5]Wenhao Ding, Liang He:
Adaptive Multi-scale Detection of Acoustic Events. CoRR abs/1911.06878 (2019) - 2018
- [c3]Wenhao Ding, Liang He:
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks. INTERSPEECH 2018: 3633-3637 - [c2]Wenhao Ding, Shuaijun Li, Huihuan Qian, Yongquan Chen:
Hierarchical Reinforcement Learning Framework Towards Multi-Agent Navigation. ROBIO 2018: 237-242 - [c1]Wenhao Ding, Shuaijun Li, Guilin Zhang, Xiangyu Lei, Huihuan Qian:
Vehicle Pose and Shape Estimation Through Multiple Monocular Vision. ROBIO 2018: 709-715 - [i4]Wenhao Ding, Shuaijun Li, Guilin Zhang, Xiangyu Lei, Huihuan Qian, Yangsheng Xu:
Vehicle Three-Dimensional Pose and Shape Estimation from Multiple Monocular Vision. CoRR abs/1802.03515 (2018) - [i3]Wenhao Ding, Liang He:
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks. CoRR abs/1803.09059 (2018) - [i2]Wenhao Ding, Shuaijun Li, Huihuan Qian:
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation. CoRR abs/1807.05424 (2018) - [i1]Wenhao Ding, Wenshuo Wang, Ding Zhao:
Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters. CoRR abs/1809.05680 (2018)
Coauthor Index
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last updated on 2024-11-11 22:23 CET by the dblp team
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